SYNOPSIS

       datalad-aggregate-metadata  [-h]  [-d  DATASET]  [--guess-native-type]  [-r] [--recursion-
              limit LEVELS] [--nosave] [--if-dirty {fail,save-before,ignore}]

DESCRIPTION

       Aggregate meta data of a dataset for later query.

       By default meta data is  aggregated  across  all  configured  native  meta  data  sources.
       Optionally,  the  type  of  available  meta  data can guessed, if no types are configures.
       Moreover,  it  is  possible  to  aggregate  meta  data  from  any  subdatasets  into   the
       superdataset,  in  order  to  facilitate  data  discovery  without  having  to  obtain any
       subdataset.

OPTIONS

       -h, --help, --help-np
              show this help message. --help-np forcefully  disables  the  use  of  a  pager  for
              displaying the help message

       -d DATASET, --dataset DATASET
              specify the dataset to perform the install operation on. If no dataset is given, an
              attempt is made to identify the dataset based  on  the  current  working  directory
              and/or  the  PATH given. Constraints: Value must be a Dataset or a valid identifier
              of a Dataset (e.g. a path)

       --guess-native-type
              guess native meta data type of datasets, if none is configured. With a  configured,
              or  auto-detected meta data type, no native meta data will be aggregated. [Default:
              False]

       -r, --recursive
              if set, recurse into potential subdataset. [Default: False]

       --recursion-limit LEVELS
              limit recursion into subdataset to the given number of levels.  Constraints:  value
              must be convertible to type 'int' [Default: None]

       --nosave
              by  default all modifications to a dataset are immediately saved. Given this option
              will disable this behavior. [Default: True]

       --if-dirty {fail, save-before, ignore}
              desired behavior if a dataset with  unsaved  changes  is  discovered:  'fail'  will
              trigger  an  error  and  further processing is aborted; 'save-before' will save all
              changes prior any further action; 'ignore' let's datalad proceed as if the  dataset
              would not have unsaved changes. [Default: 'save-before']

AUTHORS

        datalad is developed by The DataLad Team and Contributors <team@datalad.org>.